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In football analysis, no one can guarantee a 100% winning rate. However, AI can increase its chances of winning by continuous learning, improvement and adaptation. Focus on long-term analysis strategies and treat every decision with a steady and firm attitude.
Lu Han and Guan Xiaotong, as a couple who have attracted much attention in the entertainment circle, have recently announced amazing news. To the delight of fans, on the woman’s birthday, the two decided to get a certificate and declare the official sublimation of their relationship. What’s even more surprising is that Guan Xiaotong’s father also exposed their wedding photos on social media, which triggered heated discussions and blessings from fans.
Lu Han and Guan Xiaotong’s long-distance love run is a much-told story in the entertainment circle. From the moment they were first photographed holding hands, they attracted the attention and speculation of fans. After years of sweet communication, their common growth and in-depth understanding have made their feelings more stable and firm.
Sprinkling dog food always makes people envy and look forward to it, and it is undoubtedly a sweet coincidence that Guan Xiaotong chose to get a license on his birthday. This special day not only makes their love more memorable, but also symbolizes their commitment and persistence to each other. Climbing to a new height in life, the love between Lu Han and Guan Xiaotong will flourish in the future.
Guan Xiaotong’s father is not only the guardian of his daughter, but also the witness of their deep relationship. Recently, Guan’s father exposed the wedding photos of Lu Han and Guan Xiaotong on social media, which excited fans. This wedding photo shows the happiness and sweetness of the two people, and also makes everyone full of expectations and blessings for their future. Fans have left messages in the comment area to send blessings, expressing their expectations and blessings for the bright future of Lu Han and Guan Xiaotong.
After a long wait and exploration, Lu Han and Guan Xiaotong finally announced their good news on this special day. The moment of obtaining the certificate is not only the witness of their love, but also the beginning of their common growth and future happiness. Fans are also very excited and happy, and have sent blessings on social media, looking forward to seeing their better future.
At this exciting moment, we sincerely wish Lu Han and Guan Xiaotong a strong and beautiful love. May they work together, support each other, face the ups and downs in life hand in hand, and gain more happiness and sweetness in the future. Look forward to seeing their more and more mature performances and more wonderful works, and cheer for their love and career!
Recently, there was a farce in the U17 league of China women’s basketball. The U17 team of Shandong women’s basketball team, which won the final by 33 points, missed the championship, while the U17 team of Zhejiang women’s basketball team, which suffered a crushing defeat, laughed at the championship.
After the game, the reason why the competition won the championship was exposed. Shandong U17 women’s basketball team’s 2 big data are not as good as their opponents, and the gap is a little big. In the big ball game, the champion is always determined by the result of the game. It’s time for Yao Ming and others of the Basketball Association to manage these chaos.
In the U17 national women’s basketball competition, the Shandong women’s basketball team still lost to its opponents, even though it had a big center of 2.27 meters. However, they did not lose to their opponents on the field, but the two indicators were not as good as their opponents. The result of the competition was that Shandong women’s basketball team beat Zhejiang women’s basketball team 96-63.
But the champion belongs to Zhejiang women’s basketball team, and Shandong women’s basketball team comes second. After the game, the reason for the selection was exposed (as shown below). According to the selection method, even if Shandong women’s basketball team wins 100 points, they are also runners-up.
It turned out that the focus of the competition was actually physical examination and technical evaluation. Zhejiang team is the first in these two data (as shown above). This means that before the final, they already know that they are champions. Looking at all the rankings, only Shandong U17 women’s basketball team, Sichuan Women’s Youth Team, Shandong Expressway, Zibo Sports School and Changjun Middle School (Hunan) were detained for physical examination and technical evaluation, and they all fell by one place.
For non-top four teams, ranking is of little significance. But there is a great gap between the champion and the runner-up.
Among the teams whose rankings have been reduced, three are from Shandong, one is from Hunan and one is from Sichuan (pictured above), which makes people think.
However, the Shaanxi team, with the second physical test and the fourth technical evaluation, actually only increased by one place. This also shows that the results of physical examination and technical evaluation have limited influence on the competition. But why is the technical evaluation data of Shandong U17 team extremely low? This statistic is more subjective and difficult to compare than physical measurement.
Many people should still remember that physical tests were conducted in the A-A football league and A-A basketball league more than 20 years ago. Among them, Li Tie, Zheng Bin, Hao Wei and others are the best in physical examination, while Biao Zhai, Cai Sheng and other high-level centers are poor households.
Similarly, in basketball, Zhang Jinsong, Liu Wei, Zhang Wenqi and others can easily pass, while Dan Tao, Yao Ming and others are needy families. Even after Yao Ming went to the NBA, his physical examination was not outstanding, but this did not affect his becoming an international star. At the same time, Li Tie and others with excellent physical fitness did not concentrate on football in the future because of their excellent physical fitness.
Shandong U17 team and Zhang Ziyu must be very depressed this summer. She not only lost the championship, but also lost the China U16 women’s basketball team. The whole Shandong U17 team, only Liu Ketong was selected. On the contrary, three people from Zhejiang team were selected.
However, U16 women’s basketball team was defeated by their peers in Japan and South Korea at home, and even in the match with Samoa, the short center of the other team grabbed the front court rebounds five times in a row. The coach of U16 women’s basketball team once said that Zhang Ziyu was too tall for the team.
PS: It is not easy for old fans in Hubei to write. Please pay attention to old fans in Hubei and praise their works if it is convenient.
Despite returning to a mediocre domestic season and entering the Champions League final, Inter Milan still have a lot of work to do in the summer. A new center or an attacking player who can take on the role of defender should be the top priority. However, with the central defender Milan Scrinyar leaving Paris Saint-Germain, Alessandro Bastoni, who is also a defender, has attracted great interest from inside and outside the Premier League, and the left-footed central defender seems equally important.
Although Ndika does have his shortcomings-especially repeated inattention in the restricted area, losing the ball in the offensive adventure and some suspicious decisions-his speed, movement and air superiority are of high standards. The contract expires this summer, and the Frenchman should be perfect for a club with financial difficulties.
The Champions League bonus is a lot of money every season for the giant teams. Recently, Swiss media SWISS RAMBLE combined with the bonus distribution data of last season to predict the income of the Champions League teams this season, and the bonus income of five teams will exceed 100 million euros. For these giant teams, this expensive income can provide a lot of signing support for the teams, and also enable these giant teams to continue to make a difference in the transfer market.
As a favourite to win the Champions League, Manchester City ranks first. After signing Harland and Alvarez last summer, the problem of scoring in the center position of Manchester City this season has finally been solved. Compared with Aguero Harland, his performance in attack is stronger. Especially as a tall center, Harland has a greater advantage in fighting for the header. Manchester City can get 127 million euros of transfer revenue, and these revenues can ensure that Manchester City will continue to strengthen its lineup this summer, giving the team an advantage.
The three teams ranked second to fourth need to be rebuilt this summer. This is not a problem that can be solved in one season, but these three giant teams have indeed encountered major problems, and perhaps one season cannot completely solve the problem.
Ranked second is Real Madrid, which will receive a bonus of 118 million euros. After Real Madrid sent off casemiro last summer, the third half of the ceremony disintegrated. In the second leg of the Champions League match with Real Madrid, modric and Tony Cross obviously could not cover the ball control task of the midfield well, which made Real Madrid have to start thinking about strengthening the team this summer. What Real Madrid has not been able to solve is the center problem, especially under the premise that Benzema is getting older. Therefore, for Real Madrid, there is still a lot of reconstruction work.
Ranked third is Bayern, whose bonus revenue is 107 million euros. Bayern sent Levan away last summer to introduce Manet, but in the quarter-finals of the Champions League with Manchester City, Bayern had internal strife between Manet and Sanet. The club obviously wanted to send Manet away this summer. Of course, it was not easy to introduce a striker who could replace Levan. At the same time, Cancelo, who was loaned from Manchester City, also left the team at the expiration of his contract. In fact, the Bundesliga overlord introduced Manet this summer.
Ranked fourth is Paris Saint-Germain, whose bonus revenue is 104 million Euros. However, MMN in Greater Paris is also facing disintegration this summer, especially in Neymar, which may be directly terminated by Director Mu. Of course, if Neymar can be sold, it will be the best solution, at least in terms of face, and Messi, whose contract with Greater Paris expires, will not renew his contract this summer. As for the next stop, whether to stay in a strong European team or go to Saudi Arabia for gold, this is already.
Finally, Inter Milan, which ranks fifth with a bonus of 100 million euros, has been in deep financial difficulties in the past. Although Awe Brother’s financial situation is not good, Manchester City has won the Serie A championship and entered the Champions League final. For Inter Milan, this season can break through from the Champions League death group and unexpectedly enter the final Champions League final. Inter Milan has played a result that satisfied the fans. Now what the club lacks most is money, and even if it doesn’t win the championship in the end, it is still great news for the naked eye of Inter Milan, which is now in financial difficulties.
The Champions League bonus has become the favorite trophy of many giants. Of course, there is only one champion every year, but it is good news for many teams to get more bonuses.
GrammarlyGO will be opened to users who subscribe to it first, and commercial and educational accounts can participate in the Beta test later. GrammarlyGO will also be used for free accounts, starting from Britain, Japan and Australia, and gradually open to users in various regions. Users must use the new AI functions in Grammy applications, Chrome extensions and online editors on Windows and Mac platforms. GrammarlyGO will optimize applications such as Gmail, Google Doc, Word, LinkedIn and Medium.
Text | Shen Xiao
Editor | Wang Yutong
China is accelerating into an aging society. According to the data of the Ministry of Civil Affairs, by the end of 2021, the proportion of elderly people aged 60 and over in China was 18.9% of the total population, and it is estimated that by 2025 and 2035, this number will exceed 20% and 30% respectively. With the acceleration of demographic changes, the urgency of providing for the aged is prominent.
However, China’s old-age service market is still facing the gap between supply and demand of caregivers and places of care. In this context, the state and local governments have successively issued a series of policies to guide the development of the old-age care industry, such as 9073 and 9064, encouraging home-based care (90%), supplemented by community day care (7%/6%) and institutional care as a service supplement (3%/4%). However, due to the gradual reduction in the size of domestic family units in recent years, it is difficult to effectively guarantee the manpower needed for home-based care for the elderly. Therefore, it is still necessary to seek other ways to solve the gap between supply and demand of old-age care.
This provides an opportunity for the popularization and application of scientific and technological products in the pension industry. The smart pension industry has emerged, and enterprises have emerged to develop smart devices for different pension application scenarios and provide health monitoring, data analysis and other services based on technologies such as AI and big data.
In the scene where the elderly need care, falling prevention is considered to be a key link. According to the data released by China Disease Surveillance System, falling is the leading cause of injury-related death among the elderly over 65 years old in China.
In order to prevent the elderly from falling, Shanghai Vision Blue City Information Technology Co., Ltd. (hereinafter referred to as Vision Blue City) launched a series of 3D intelligent human posture sensor "Little Blue Lion" based on ToF radar and AI algorithm, and built a corresponding AIoT platform to provide intelligent care services such as posture warning, health data management and analysis.
Through ToF(Time of Flight) sensor, the electronic equipment associated with it can collect the depth data of environment, objects and human body in the scene, and support real-time imaging. With the help of the algorithm, these data can be used to measure the distance, size and track the movement. The AI algorithm expert model and deep learning network based on ToF depth data can realize accurate recognition of human postures such as falling, sitting, lying and walking. At present, ToF technology has been widely used in face recognition and gesture judgment of smart phones. Other application scenarios include: obstacle recognition of sweeping robot; 3D photography and 3D modeling of intelligent hARdware devices such as ar glasses; Unmanned obstacle identification and ranging.
In addition to the "Little Blue Lion" series products, Trendy Blue City has also developed a smart and healthy SaaS platform to provide integrated intelligent care solutions for residential communities, pension real estate, government and private pension institutions, and home-based pension scenarios. The platform covers daily entertainment life management, health management, home care management, etc., and can integrate health data and service early warning information fed back from AIoT platform.
Vision Blue City was established in 2022 with the joint investment of Shanghai Vision Information Technology Co., Ltd. (hereinafter referred to as Vision Technology) and Zhejiang Blue City Chunfeng Construction Management Co., Ltd. (hereinafter referred to as Blue City Chunfeng).
Vision Technology focuses on AI visual behavior analysis technology, and related products and solutions have been applied in retail, security, smart communities and other fields. Blue City Chunfeng belongs to Blue City Group, a comprehensive real estate service provider. Blue City Group has more than 20 years of experience in real estate development and operation management, with blue city agriculture, blue city support and blue city health as its core service industries.
In terms of products, Shan Yiyong, CEO of Trendy Blue City, told 36Kr: "At present, millimeter-wave radar is the main anti-fall technology product used in the smart old-age scene on the market. Compared with RGB cameras, millimeter-wave radar can identify height changes and protect the privacy of the elderly. However, the accuracy of millimeter-wave radar identification is poor, and the probability of attitude false alarm is high. ToF radar can significantly improve the accuracy of attitude reporting while protecting the privacy of the elderly. "
In addition, Vision Blue City will launch the whole industrial chain products based on the combination of body recognition and health care, aiming at systematically collecting human micro-expressions and all kinds of movement data, and using AI technology to realize comprehensive health assessment, rehabilitation and sports guidance, service demand reporting and other functions.
On the one hand, the accuracy and privacy of "Little Blue Lion" series products are double guaranteed because ToF scheme itself has certain technical advantages compared with other technical routes such as millimeter wave radar and laser radar. At the same time, in recent years, the hardware module of ToF sensor has made some progress in technology. On the other hand, it benefits from the technology accumulation of vision recognition AI algorithm.
First of all, the technical advantage lies in the higher privacy protection of imaging, but the collected posture data is clearer and richer. On this basis, supplemented by three-dimensional spatial data,Vision Blue City can use AI technology to make a more accurate judgment and analysis of the user’s posture and behavior information.. Shan Yiyong, CEO of Vision Blue City, said: "The low accuracy of millimeter-wave radar is mainly due to the low amount of data available at present, which can only be used for mechanical judgment and it is difficult to use AI technology. And each of our ToF devices has an AI chip, which can be directly judged. "
Compared with the imaging of other radar sensors
Blue ToF-3D sensor imaging
At present, the ToF sensor applied in Blue City has a maximum distance of 8 meters and a resolution of 640*480. Shan Yiyong, CEO of Vision Blue City, pointed out: "It is very important to improve the collection distance and resolution. In 2021, the ToF sensor module can only support the acquisition distance of 6 meters. By 2022, this number has increased to 8-10 meters. In addition, at the resolution level, it has reached a level similar to VGA, which is enough to clearly distinguish human posture and behavior. "
Secondly, the improvement of the accuracy of body recognition needs the support of corresponding AI algorithm and model, and the model is continuously optimized through a large amount of data. In the early stage of vision technology, a large amount of data has been accumulated for deep learning, and it has a mature model.
Looking forward to Blue City can directly call its ready-made model and quickly write the device algorithm..
At present, the technical team led by Dr. Zhong Zhang, the chief scientist, has solved two ToF technical difficulties.
First, through data modulation, the remote depth data drift can be controlled. According to reports, in the traditional sense, after the monitoring distance reaches 8 meters, the drift distortion of depth data will be more serious;
Secondly, based on deep learning algorithm and expert model, the accuracy of posture recognition is improved. Shan Yiyong, CEO of Vision Blue City, told 36Kr: "There are scenes where deep learning can’t achieve accurate recognition, such as scenes where human feature data is completely or partially lost due to the covering or blocking of obstructions. For example, the elderly may fall behind the coffee table, and ToF equipment can’t capture the portrait behind the coffee table. At this time, the traditional deep learning system will have false positives, but we can infer through the memory and analysis ability of the expert system. "
In the view of blue city, this expert system is also the core technical barrier of the company at present, which can help it build a certain first-Mover advantage.. Shan Yiyong, CEO of Blue City, pointed out: "There are still few people doing things with this technology, and some people do it, but the landing is slow."
On the market side, relying on the resources of Blue City Group and its affiliated enterprises in the real estate industry, it is tending to see that Blue City has signed some old-age real estate projects, such as Hangzhou Blue City Taoranli, etc., with CCRC community and high-end old-age care institutions as the main formats. It is estimated that there will be more than 10 landing projects this year, and mass production will be realized in May, and about 10,000 products will be delivered to customers.
But at the same time, by looking at the technical advantages and resource advantages that Blue City has at this stage, it may face two corresponding challenges at the market level.
First, the product price is high, while the market’s willingness to pay and purchasing power are still low.
From the cost side, Shan Yiyong, CEO of Vision Blue City, said that every ToF device is equipped with AI chips, which leads to the fact that the price of ToF devices cannot be directly reduced to the same cost level as ordinary radar sensors. From the demand side, market education and fee payment are considered as two obstacles for the domestic pension market to move from just-needed pension service to refined management mode of CCRC.
At present, the equipment of Blue City is priced at 2000 yuan. Usually, one piece of equipment needs to be placed in the toilet, bedroom and living room respectively, that is, a single household needs to pay at least 6000 yuan for the equipment. Shan Yiyong, CEO of Vision Blue City, said frankly that this is one of the main reasons why Vision Blue City should first cut into the market from CCRC community and high-end pension institutions. But at the same time, he also said that with the increase of output in the future, the price of external mining modules will decrease; In addition, through the back-end "module+self-developed motherboard" form, the company is expected to achieve a continuous decline in costs, and the price of a device in the future can be reduced to around 1000 yuan.
Second, it remains to be verified whether the existing industry resources can continue to play an advantage in the process of product penetration to B-end customers, G-end customers and C-end customers except affiliated enterprises.
Generally speaking, the business model of Blue City at this stage is mainly divided into two categories: BtoBtoC and BtoGtoC, and the goal of the next stage is to directly face C-end users.
Under BtoBtoC mode, B-end customers such as CCRC community and pension real estate may pay more attention to the actual economic value that the equipment can create for the project, whether the new project adopts ToF scheme or not, and whether the completed project is replaced by ToF scheme. This, in turn, depends to some extent on whether the value of the equipment can be recognized by C-end users. Specifically, the first is the weight of ToF scheme in the decision-making process of users choosing pension institutions; The second is whether users are willing to pay a premium because of the adoption of ToF scheme.
In addition, the body recognition products of Blue City only solve a small part of the needs of the elderly-real-time care and immediate feedback. In the provision of follow-up services, professional institutions and service personnel are needed to fill in. Therefore, whether the adoption of equipment can actually reduce the demand of nursing staff, improve the efficiency of care, improve the reuse rate of personnel and reduce the cost of care may also constitute a part of the core considerations.
Under the BtoGtoC model, the government pays more attention to the creation of social value. Although Vision Blue City proposed a subscription payment model to solve the problem of high equipment cost, as mentioned above,Whether you can achieve synergy with back-end services may be the key.. This is equally important for the C-end users themselves.
In this way, doing a good job in extending the form of products and services and establishing a reliable partnership with upstream and downstream enterprises in the industrial chain may be the future concern of Blue City.
In this regard, Trendy Blue City said that it would explore the form of "property+"and reach a cooperation with the property company. Trendy Blue City is responsible for the provision and basic operation of smart devices, and the property is responsible for the service output after posture warning. In this mode, residents in the community can also pay in the form of equipment and service subscriptions. However, this cooperation model may face some difficulties in actual implementation, such as the delineation of related responsibilities and the ability of the property to provide related services.
At present, the team is mainly composed of R&D personnel, and a marketing team is being established.
Dr. Zhong Zhang, the founder and chief scientist, graduated from Tsinghua University and worked as the chief scientist of OBJECTVIDEO, the world’s first visual behavior analysis company, for nearly 10 years, leading the team to develop an industry-leading expert algorithm model. At present, based on the deep learning model, Dr. Zhong Zhang has built a mature technical path of "expert model system+deep learning system".
Founder and CEO Shan Yiyong has worked in Kangyang Real Estate Head Enterprise for nearly 20 years. He has participated in the planning, construction and operation of many industry benchmarks Kangyang Real Estate projects, and has also participated in the establishment of health management companies and launched O2O community health management solutions based on IoT.
Dr. Mei Jian, founder and CFO, has more than 20 years of experience in the financial industry and 3 years of entrepreneurial experience in the real estate consulting industry. He used to be the chief information officer of state-owned and joint-stock commercial banks and the president of the investment banking department.
Other core members of the team have many years of experience in artificial intelligence, IOT and other fields.